Original Data Article

Neuroinformatics

, Volume 11, Issue 3, pp 367-388

The MCIC Collection: A Shared Repository of Multi-Modal, Multi-Site Brain Image Data from a Clinical Investigation of Schizophrenia

  • Randy L. GollubAffiliated withDepartment of Psychiatry, Massachusetts General HospitalAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Email author 
  • , Jody M. ShoemakerAffiliated withThe Mind Research Network
  • , Margaret D. KingAffiliated withThe Mind Research Network
  • , Tonya WhiteAffiliated withDepartment of Child and Adolescent Psychiatry, Erasmus Medical CentreDepartment of Radiology, Erasmus Medical Centre
  • , Stefan EhrlichAffiliated withDepartment of Child and Adolescent Psychiatry, University of Technology
  • , Scott R. SponheimAffiliated withMinneapolis VA Health Care SystemDepartment of Psychiatry, University of Minnesota
  • , Vincent P. ClarkAffiliated withDepartment of Psychiatry, Massachusetts General HospitalThe Mind Research NetworkDepartment of Psychology, University of New Mexico
  • , Jessica A. TurnerAffiliated withThe Mind Research Network
  • , Bryon A. MuellerAffiliated withDepartment of Psychiatry, University of Minnesota
    • , Vince MagnottaAffiliated withDepartment of Radiology, University of Iowa
    • , Daniel O’LearyAffiliated withDepartment of Psychiatry, Massachusetts General HospitalDepartment of Psychiatry, University of Iowa
    • , Beng C. HoAffiliated withDepartment of Psychiatry, Massachusetts General HospitalDepartment of Psychiatry, University of Iowa
    • , Stefan BraunsAffiliated withDepartment of Psychiatry, Massachusetts General HospitalDepartment of Child and Adolescent Psychiatry, University of TechnologyDepartment of Psychiatry, Charité University Medicine
    • , Dara S. ManoachAffiliated withDepartment of Psychiatry, Massachusetts General HospitalAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    • , Larry SeidmanAffiliated withDepartment of Psychiatry, Massachusetts General HospitalMassachusetts Mental Health Center Public Psychiatry Division, Beth Israel Deaconess Medical Center
    • , Juan R. BustilloAffiliated withDepartment of Psychiatry, Massachusetts General HospitalDepartment of Psychiatry, University of New Mexico
    • , John LaurielloAffiliated withDepartment of Psychiatry, Massachusetts General HospitalDepartment of Psychiatry, University of Missouri
    • , Jeremy BockholtAffiliated withDepartment of Psychiatry, Massachusetts General HospitalDepartment of Psychiatry, University of IowaAdvanced Biomedical Informatics Group, LLC
    • , Kelvin O. LimAffiliated withDepartment of Psychiatry, University of Minnesota
    • , Bruce R. RosenAffiliated withAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital
    • , S. Charles SchulzAffiliated withDepartment of Psychiatry, University of Minnesota
    • , Vince D. CalhounAffiliated withDepartment of Psychiatry, Massachusetts General HospitalThe Mind Research NetworkDepartment of Electrical and Computer Engineering, University of New MexicoDepartment of Psychiatry, University of New Mexico
    • , Nancy C. AndreasenAffiliated withDepartment of Psychiatry, Massachusetts General HospitalDepartment of Psychiatry, University of Iowa

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Abstract

Expertly collected, well-curated data sets consisting of comprehensive clinical characterization and raw structural, functional and diffusion-weighted DICOM images in schizophrenia patients and sex and age-matched controls are now accessible to the scientific community through an on-line data repository (coins.mrn.org). The Mental Illness and Neuroscience Discovery Institute, now the Mind Research Network (MRN, http://​www.​mrn.​org/​), comprised of investigators at the University of New Mexico, the University of Minnesota, Massachusetts General Hospital, and the University of Iowa, conducted a cross-sectional study to identify quantitative neuroimaging biomarkers of schizophrenia. Data acquisition across multiple sites permitted the integration and cross-validation of clinical, cognitive, morphometric, and functional neuroimaging results gathered from unique samples of schizophrenia patients and controls using a common protocol across sites. Particular effort was made to recruit patients early in the course of their illness, at the onset of their symptoms. There is a relatively even sampling of illness duration in chronic patients. This data repository will be useful to 1) scientists who can study schizophrenia by further analysis of this cohort and/or by pooling with other data; 2) computer scientists and software algorithm developers for testing and validating novel registration, segmentation, and other analysis software; and 3) educators in the fields of neuroimaging, medical image analysis and medical imaging informatics who need exemplar data sets for courses and workshops. Sharing provides the opportunity for independent replication of already published results from this data set and novel exploration. This manuscript describes the inclusion/exclusion criteria, imaging parameters and other information that will assist those wishing to use this data repository.

Keywords

Medical Image Data repository Schizophrenia fMRI DWI mMRI Healthy controls